Specialty
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The role
The company is hiring a Senior Machine Learning Engineer for its Ads Response Prediction team. The research-leaning role works on click and conversion prediction models, debiasing and sequence modeling for ads. The company describes a Flex First, remote-friendly approach.
What you will do
- Research and build pCTR and conversion prediction models with better calibration
- Apply debiasing techniques such as inverse propensity weighting and negative sampling
- Contribute to the multi-domain multi-task model architecture, including mixture-of-experts and transformer layers
- Work on generative retrieval and Semantic ID representation learning for ads surfaces
- Turn business observations into defined ML research directions
- Present findings internally and take part in design reviews
What they ask for
- Master's or PhD in ML, statistics, computer science or a related field, or equivalent experience
- 3+ years applying ML to ranking, recommendation or prediction at scale
- Knowledge of CTR and conversion modeling, such as DeepFM, DCN and multi-task learning
- Foundation in causal inference and training-data bias mitigation
- Python and PyTorch, TensorFlow or JAX
- SQL, Spark and Pandas
- Clear communication to product managers and data scientists
This is our own short reading of the posting. The full description, and anything that has changed since, is on the employer's careers page behind the apply button.
